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Assessment of peripheral tissue perfusion by optical dynamic fluorescence imaging and nonlinear regression modeling

Title
Assessment of peripheral tissue perfusion by optical dynamic fluorescence imaging and nonlinear regression modeling
Authors
Kang Y.Lee J.Kwon K.Choi C.
Ewha Authors
권기환
SCOPUS Author ID
권기환scopus
Issue Date
2010
Journal Title
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN
1605-7422JCR Link
Citation
vol. 7548
Indexed
SCOPUS scopus
Abstract
The purpose of this study is to examine the peripheral tissue perfusion rates by time-series analysis of distribution and elimination kinetics of a clinically proven NIR fluorescence probe, indocyanine green (ICG). We developed a new method, dynamic ICG perfusion imaging technique to evaluate peripheral tissue perfusion that employs planar imaging with a CCD digital imaging system and time-series analysis of the spatiotemporal dynamics (150s) of intravenously injected ICG by using nonlinear regression and differential evolution methods. Six parameters (α, β, s, d, m; parameters which depend on an arterial input function (AIF) into a lower extremity and p; perfusion rates in the lower extremity) were estimated by the nonlinear regression modeling method. We have confirmed the validity of our new method by applying the method to a normal control and a patient with peripheral arterial occlusion disease (PAOD). PAOD patient showed a unique AIF curve pattern, which was caused by collateral blood flow bypassing the occluded major artery. The lower extremity tissue perfusion rate of the PAOD patient was estimated as about 35% of those of normal values. These results indicate that ICG perfusion imaging method is sensitive enough to diagnose PAOD and capable of diagnosing functional arterial diseases. © 2010 Copyright SPIE - The International Society for Optical Engineering.
DOI
10.1117/12.841620
ISBN
9780819479440
Appears in Collections:
의학전문대학원 > 의학과 > Journal papers
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